interaction_transformer,freeze_detr,share_enc,pretrained_dec,temperature,hoi_aux_loss,return_obj_class=None):super().__init__()# Instance Transformerself.detr=detriffreeze_detr:# if this flag is given, freeze the object detection related parameters of DETRforpinself.parameters():p.requires_grad...
Human–object interactionHuman-object interaction (HOI) detection is an important vision task that requires the detection of individual object instances and reasoning of their relations. Despite encouraging advancement in recent years, past methods are still limited to relatively simple images where the ...
"Transferable Interactiveness Knowledge for Human-Object Interaction Detection"(CVPR 2019)[5] 图7:经过过滤后,HOI图变得稀疏了 最近的HOI以及VRD工作还有一个研究方向就是关系存在性的判别。因为检测模型生成的检测框的proposal多的十几甚至几十个,配对之后的proposal pair显然更多,直接把它们都进行关系判别显然是有...
姿势信息[Transferable interactiveness knowledge for human-object interaction detection]和基于上下文感知的外观特征的深层上下文注意力[Deep contextual attention for human-object interaction detection],扩展了上述多流体系结构。
Object Detection as Set Prediction DETR将目标检测作为一个集合预测问题来进行训练,由于目标检测包括每个对象的分类和定位,因此DETR中的transformer编码器-解码器结构将N个query转换为了N个目标类别和边界框的预测。 HOI Detection as Set Prediction 与目标检测类似,HOI检测可定义为一组预测问题,其中每个预测包括人区域(...
Given an image, HOI detection aims to detect an interaction triplet <human,action,object>. This requires to not only localize a human and an object instance, but also recognize the actions/interactions that the human is performing to the object, such as “ride bike” and “eat apple”. ...
『HOTR: End-to-End Human-Object Interaction Detection with Transformers』,由 Kakao 提出端到端的Human-Object 交互检测模型《HOTR》不再需要后处理步骤! 详细信息如下: 论文链接:https://arxiv.org/abs/2104.13682 项目链接:https://github.com/kakaobrain/HOTR ...
论文阅读:iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection,程序员大本营,技术文章内容聚合第一站。
iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection 论文阅读笔记,程序员大本营,技术文章内容聚合第一站。
HOTR: End-to-End Human-Object Interaction Detection with Transformers HOTR is a novel framework which directly predicts a set of {human, object, interaction} triplets from an image using a transformer-based encoder-decoder. Through the set-level prediction, our method effectively exploits the inhere...